वित्तीय जोखिम विश्लेषक
व्यापार और वित्तAI एक्सपोजर
- डेटा स्रोत: BLSप्रकाशन: 2026-08
बहुत उच्च· सापेक्ष
कमचार सापेक्ष श्रेणियाँबहुत उच्चव्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
चार सापेक्ष बैंड (कम / मध्यम / उच्च / बहुत उच्च)
BLS रोज़गार पूर्वानुमान तालिका के 831 विस्तृत व्यवसायों के आधार पर। मान NEM (नेशनल एम्प्लॉयमेंट मैट्रिक्स) कोड के स्तर पर दिया जाता है, इसलिए एक ही NEM कोड वाले व्यवसायों को वही बैंड मिलता है
- डेटा स्रोत: Anthropicप्रकाशन: 2026-03
0.265
0.000यहाँ दिए गए मानों की सीमा0.745मापक्रम, आधार और स्रोत
- डेटा स्रोत: ILOप्रकाशन: 2025
0.44
0.09यहाँ दिए गए मानों की सीमा0.70व्यवसाय-समूह स्तर का मान
मापक्रम, आधार और स्रोत
जेनरेटिव AI एक्सपोजर सूचकांक, प्रकाशित रूप में 0–1
ISCO-08 यूनिट समूह — समान कोड वाले सभी व्यवसायों को यही मान मिलता है
यह इस साइट की गणना है, ILO द्वारा प्रकाशित आँकड़ा नहीं: इस साइट द्वारा ILO डेटासेट से जोड़े गए 1,012 व्यवसायों में से 28% इस मान के बराबर या उससे अधिक हैं।
यह स्रोत किस प्रकार का आँकड़ा प्रकाशित करता है
BLS की श्रेणी सापेक्ष रैंक है, निरपेक्ष स्तर नहीं, और यह प्रथम-हस्त माप भी नहीं है: यह कई प्रकाशित अध्ययनों में व्यवसाय की पर्सेंटाइल रैंकों को चार बैंडों में बांटती है। यह रोज़गार या वेतन का पूर्वानुमान नहीं है, न अपनाए जाने की संभावना, और यह स्वचालन और संवर्धन में अंतर नहीं करती।
Task-level exposure
केवल एक्सपोज़र वाले कार्य| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend ways to control or reduce risk.13-2054 | 0.110025.0 | 0.02003.2 |
Recommend investments and investment timing to companies, investment firm staff, or the public.13-2054 | 0.070015.9 | 0.080012.9 |
Prepare plans of action for investment, using financial analyses.13-2054 | 0.070015.9 | 0.01001.6 |
Identify key risks and mitigating factors of potential investments, such as asset types and values, legal and ownership structures, professional reputations, customer bases, or industry segments.13-2054 | 0.060013.6 | 0.130021.0 |
Analyze areas of potential risk to the assets, earning capacity, or success of organizations.13-2054 | 0.04009.1 | 0.100016.1 |
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.13-2054 | 0.03006.8 | 0.210033.9 |
Monitor developments in the fields of industrial technology, business, finance, and economic theory.13-2054 | 0.03006.8 | 0.03004.8 |
Produce reports or presentations that outline findings, explain risk positions, or recommend changes.13-2054 | 0.01002.3 | 0.03004.8 |
Devise scenario analyses reflecting possible severe market events.13-2054 | 0.01002.3 | 0.01001.6 |
Provide statistical modeling advice to other departments.13-2054 | 0.01002.3 | —0 |
Analyze new legislation to determine impact on risk exposure.13-2054 | 0.00000.0 | 0.00000.0 |
Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.13-2054 | 0.00000.0 | 0.00000.0 |
Inform financial decisions by analyzing financial information to forecast business, industry, or economic conditions.13-2054 | 0.00000.0 | 0.00000.0 |
Maintain input or data quality of risk management systems.13-2054 | 0.00000.0 | 0.00000.0 |
Develop contingency plans to deal with emergencies.13-2054 | 0.00000.0 | —0 |
Document, and ensure communication of, key risks.13-2054 | 0.00000.0 | —0 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.13-2054 | 0.00000.0 | —0 |
Meet with clients to answer queries on subjects such as risk exposure, market scenarios, or values-at-risk calculations.13-2054 | 0.00000.0 | —0 |
Review or draft risk disclosures for offer documents.13-2054 | 0.00000.0 | —0 |
| Not observed on any surface — 11 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Confer with traders to identify and communicate risks associated with specific trading strategies or positions. | —0 | —0 |
Consult financial literature to ensure use of the latest models or statistical techniques. | —0 | —0 |
Contribute to development of risk management systems. | —0 | —0 |
Determine potential environmental impacts of new products or processes on long-term growth and profitability. | —0 | —0 |
Develop or implement risk-assessment models or methodologies. | —0 | —0 |
Devise systems or processes to monitor validity of risk assessments. | —0 | —0 |
Evaluate and compare the relative quality of various securities in a given industry. | —0 | —0 |
Evaluate the risks and benefits involved in implementing green building technologies. | —0 | —0 |
Evaluate the risks related to green investments, such as renewable energy company stocks. | —0 | —0 |
Gather risk-related data from internal or external resources. | —0 | —0 |
Track, measure, or report on aspects of market risk for traded issues. | —0 | —0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.O*NET Task ID 21617 | 1.0 |
Review or draft risk disclosures for offer documents.O*NET Task ID 21633 | 1.0 |
Analyze areas of potential risk to the assets, earning capacity, or success of organizations.O*NET Task ID 21605 | 0.5 |
Analyze new legislation to determine impact on risk exposure.O*NET Task ID 21606 | 0.5 |
Conduct statistical analyses to quantify risk, using statistical analysis software or econometric models.O*NET Task ID 21607 | 0.5 |
Confer with traders to identify and communicate risks associated with specific trading strategies or positions.O*NET Task ID 21608 | 0.5 |
Consult financial literature to ensure use of the latest models or statistical techniques.O*NET Task ID 21609 | 0.5 |
Contribute to development of risk management systems.O*NET Task ID 21610 | 0.5 |
Determine potential environmental impacts of new products or processes on long-term growth and profitability.O*NET Task ID 21611 | 0.5 |
Develop contingency plans to deal with emergencies.O*NET Task ID 21612 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page